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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 961
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    Explanations

    action verbs related to applying to something, such as grants, positions, or rules

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of applying

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    footed
    -0.72
    hoff
    -0.68
    owship
    -0.66
    airs
    -0.66
    oids
    -0.63
    acters
    -0.63
    nia
    -0.63
    watching
    -0.62
    aired
    -0.62
    opsis
    -0.62
    POSITIVE LOGITS
     pressure
    0.88
     brakes
    0.70
     inconsist
    0.69
    arate
    0.68
     sunscreen
    0.67
     rigorous
    0.66
     mathematical
    0.66
     liber
    0.66
     formulas
    0.64
     lessons
    0.64
    Activations Density 0.029%

    No Known Activations